tdc.msm
swMATH ID:  22607 
Software Authors:  MeiraMachado L, CadarsoSuárez C, de UñaAlvarez J. 
Description:  tdc.msm: An R library for the analysis of multistate survival data. The aim of this paper is to present an R library, called tdc.msm, developed to analyze multistate survival data. In this library, the timedependent regression model and multistate models are included as two possible approaches for such data. For the multistate modelling five different models are considered, allowing the user to choose between Markov and semiMarkov property, as well as to use homogeneous or nonhomogeneous models. Specifically, the following multistate models in continuous time were implemented: Cox Markov model; Cox semiMarkov model; homogeneous Markov model; nonhomogeneous piecewise model and nonparametric Markov model. This software can be used to fit multistate models with one initial state (e.g., illness diagnosis), a finite number of intermediate states, representing, for example, a change of treatment, and one absorbing state corresponding to a terminal event of interest. Graphical output includes survival estimates, transition probabilities estimates and smooth log hazard for continuous covariates. 
Homepage:  https://www.sciencedirect.com/science/article/pii/S0169260707000156 
Dependencies:  R 
Keywords:  Proportional hazards model; Multistate model; Markov process; Timedependent covariate; Biomedicine; R library; survival data 
Related Software:  msm; p3state.msm; R; changelos; mstate; survival; etm; SAS; MKVPCI; MARKOV; frailtypack; gamboostMSM; SemiMarkov; flexsurv; msSurv; SMM; TPmsm; mvna; SemiCompRisks; gamair 
Cited in:  2 Publications 
Standard Articles
1 Publication describing the Software  Year 


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top 5
Cited by 6 Authors
1  Gude, Francisco 
1  Kneib, Thomas 
1  Launer, Lenore 
1  MeiraMachado, Luis F. 
1  Saczynski, Jane S. 
1  Yu, Binbing 
Cited in 2 Serials
1  Biometrical Journal 
1  Statistical Modelling 
Cited in 4 Fields
2  Statistics (62XX) 
1  Probability theory and stochastic processes (60XX) 
1  Numerical analysis (65XX) 
1  Biology and other natural sciences (92XX) 